{"id":"W2116913625","doi":"10.1002/ijc.29570","title":"Integrated pathway and epistasis analysis reveals interactive effect of genetic variants at <scp><i>TERF1</i></scp> and <scp><i>AFAP1L2</i></scp> loci on melanoma risk","year":2015,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"National Institutes of Health; Institut National de la Santé et de la Recherche Médicale; Institut National Du Cancer; Ligue Contre le Cancer; Johns Hopkins University; European Commission; University of Texas MD Anderson Cancer Center; Fondation pour la Recherche Médicale; University of Washington; Institut Gustave-Roussy; National Cancer Institute; Melanoma Research Alliance","keywords":"Epistasis; SNP; Biology; Single-nucleotide polymorphism; Genome-wide association study; Genetics; Melanoma; Meta-analysis; Genetic association; Gene; Gene interaction; Computational biology; Biological pathway; Genotype; Bioinformatics; Gene expression; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007324084,0.0006570328,0.0007501213,0.001709066,0.0002725597,0.0005948279,0.000394318,0.0002913492,0.00431738],"category_scores_gemma":[0.00113396,0.0002401625,0.001792973,0.001329141,0.0002100409,0.0002406729,0.0006786469,0.0005189199,0.0002543326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974867,"about_ca_system_score_gemma":0.0005073076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004708254,"about_ca_topic_score_gemma":0.005749233,"domain_scores_codex":[0.9993184,0.000200834,0.00004771589,0.0002593876,0.00008514102,0.00008848488],"domain_scores_gemma":[0.9992899,0.0003609498,0.0001389438,0.00007352478,0.00005257216,0.00008416756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007808683,0.0003786922,0.4738267,0.0005515377,0.00594824,0.002130758,0.0003564602,0.008813626,0.4407993,0.001376099,0.001442979,0.05656695],"study_design_scores_gemma":[0.0002131039,0.0005722275,0.9371688,0.00001603988,0.002372665,0.00152624,0.0001556836,0.04311343,0.01231086,0.001642278,0.0008404154,0.00006812749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908937,0.0002526798,0.006289115,0.00005624353,0.000006022618,0.00002075782,0.001977473,0.0002247537,0.0002792326],"genre_scores_gemma":[0.992451,0.00008525666,0.005535599,0.00003262951,0.000005072678,0.00003569448,0.001499787,0.00004925589,0.0003057445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004708254,"threshold_uncertainty_score":0.01444304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294292076370133,"score_gpt":0.2901715404707745,"score_spread":0.2772286197070731,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}